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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Detection of Breast Cancer Using Fusion of MLO and CC View Features Through a Hybrid Technique Based on Binary Firefly Algorithm and Optimum-Path Forest Classifier
S. Sasikala, M. Ezhilarasi, S. Arun Kumar
Springer tracts in nature-inspired computing (2019), pp. 23-40
Closed Access | Times Cited: 22

Showing 22 citing articles:

Deep learning in mammography images segmentation and classification: Automated CNN approach
Wessam M. Salama, Moustafa H. Aly
Alexandria Engineering Journal (2021) Vol. 60, Iss. 5, pp. 4701-4709
Open Access | Times Cited: 171
CT-ML: Diagnosis of Breast Cancer Based on Ultrasound Images and Time-Dependent Feature Extraction Methods Using Contourlet Transformation and Machine Learning
Behnam Hajipour Khire Masjidi, Soufia Bahmani, Fatemeh Sharifi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 23
Review on Deep Learning-Based CAD Systems for Breast Cancer Diagnosis
S. Arun Kumar, S. Sasikala
Technology in Cancer Research & Treatment (2023) Vol. 22
Open Access | Times Cited: 14
Firefly Algorithm in Biomedical and Health Care: Advances, Issues and Challenges
Janmenjoy Nayak, Bighnaraj Naik, Savithramma P. Dinesh‐Kumar, et al.
SN Computer Science (2020) Vol. 1, Iss. 6
Open Access | Times Cited: 38
Using Hybrid Filter-Wrapper Feature Selection With Multi-Objective Improved-Salp Optimization for Crack Severity Recognition
Esraa Elhariri, Nashwa El-Bendary, Shereen A. Taie
IEEE Access (2020) Vol. 8, pp. 84290-84315
Open Access | Times Cited: 31
Combining the advantages of radiomic features based feature extraction and hyper parameters tuned RERNN using LOA for breast cancer classification
S. Subasree, N. K. Sakthivel, Khushboo Tripathi, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103354-103354
Closed Access | Times Cited: 25
Towards Improving Skin Cancer Detection Using Transfer Learning
S. Sasikala
Bioscience Biotechnology Research Communications (2020) Vol. 13, Iss. 11, pp. 55-60
Open Access | Times Cited: 13
An Image Processing Framework for Breast Cancer Detection Using Multi-View Mammographic Images
Nada Fitrieyatul Hikmah, Tri Arief Sardjono, Windy Deftia Mertiana, et al.
EMITTER International Journal of Engineering Technology (2022), pp. 136-152
Open Access | Times Cited: 7
Fusion of Orthogonal Moment Features for Mammographic Mass Detection and Diagnosis
Mohamed W. Abo El-Soud, Imad Zyout, Khalid M. Hosny, et al.
IEEE Access (2020) Vol. 8, pp. 129911-129923
Open Access | Times Cited: 9
Composite firefly algorithm for breast cancer recognition
Hu Peng, Wenhua Zhu, Changshou Deng, et al.
Concurrency and Computation Practice and Experience (2020) Vol. 33, Iss. 5
Closed Access | Times Cited: 9
Towards Improving Patient Health Monitoring System using Machine Learning and Internet of Things
S. Arun Kumar, B. Gopinath, A. Kavinraj, et al.
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) (2021), pp. 1-5
Closed Access | Times Cited: 7
Breast Cancer Segmentation in Mammogram Using Artificial Intelligence and Image Processing: A Systematic Review
Basit Raza, Wajeeha Ansar
Current Chinese Science (2022) Vol. 3, Iss. 1, pp. 3-22
Closed Access | Times Cited: 3
Enhancement of Breast Cancer Screening through Texture and Deep Feature Fusion Model using MLO and CC View Mammograms
S. Sasikala, S. Arun Kumar
BENTHAM SCIENCE PUBLISHERS eBooks (2024), pp. 96-110
Closed Access
Enhancing Multi-view Mammography Image Classification: By using Breast Region Extraction Method and Statistical Features
Neda Shirany Bidabadi, Elham Mahmoudzadeh
(2024), pp. 1-5
Closed Access
Überblick und Klassifizierung von auf Schwarmintelligenz basierenden naturinspirierten Rechenalgorithmen und deren Anwendungen in der Krebserkennung und -diagnose
Fatima Nazish Khan, Mohammad Asim, Mohammad Irfan Qureshi
(2024), pp. 131-160
Closed Access
A collaborative multi-task model for immunohistochemical molecular sub-types of multi-modal breast cancer MRI images
Haozhen Xiang, Yuqi Xiong, Yingwei Shen, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107137-107137
Closed Access
Overview and Classification of Swarm Intelligence-Based Nature-Inspired Computing Algorithms and Their Applications in Cancer Detection and Diagnosis
Fatima Nazish Khan, Mohammad Asim, Mohammad Irfan Qureshi
Studies in computational intelligence (2022), pp. 119-145
Closed Access | Times Cited: 2
Pulse coupled neural network optimized with chaotic grey wolf algorithm for breast cancer classification using mammogram images
Kalai Selvi T, K. Rahimunnisa
Concurrency and Computation Practice and Experience (2022) Vol. 35, Iss. 1
Closed Access | Times Cited: 2
A Physician Assisting COVID-19 Diagnosis System to Categorize Positive Cases using Radiology Images
B. Gopinath, S. Arun Kumar, S. Sasikala
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) (2021), pp. 1-5
Closed Access | Times Cited: 2
Theoretical background and related works
Luis C. S. Afonso, Alexandre X. Falcão, João Paulo Papa
Elsevier eBooks (2022), pp. 5-54
Closed Access | Times Cited: 1
A REVIEW ON IMAGE PROCESSING TECHNIQUES FOR BREAST CANCER ANALYSIS
Iqra Rashid, Javeria Naz
Azerbaijan Journal of High Performance Computing (2021) Vol. 4, Iss. 2, pp. 206-231
Open Access | Times Cited: 1
Mammogram mass segmentation and classification based on cross-view VAE and spatial hidden factor disentanglement
Yingran Ma, Yanjun Peng
Physical and Engineering Sciences in Medicine (2023) Vol. 47, Iss. 1, pp. 223-238
Closed Access
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